中北大学学报（自然科学版）2011，Vol.32Issue(5)：596-599,4.DOI:10.3969/j.issn.1673-3193.2011.05.013
基于随机扰动的隐私保护算法研究
Research on Privacy Preserving Algorithm Based on Random Perturbation
摘要
Abstract
The privacy protection in data mining process and the accuracy of the data mining results are of academic significance. Based on MASK (Mining Associations with Secrecy Constraints) algorithm, a new algorithm for privacy protection in data mining process, being named as RPM(Random Perturbation MASK), was presented through improving the random perturbation method. The proposed algorithm takes fewer times to scan the database than MASK dose and reduces the complexity in data-support computation. The experiments proved that the runtime efficiency of the RPM was remarkably improved.关键词
隐私保护/数据挖掘/随机扰动/关联规则/频繁项集Key words
privacy preserving/ data mining/ random perturbation/ association rule/ frequent itemset分类
信息技术与安全科学引用本文复制引用
刘爽英,杨秋翔,马巧梅..基于随机扰动的隐私保护算法研究[J].中北大学学报（自然科学版）,2011,32(5):596-599,4.基金项目
山西省科技攻关资助项目(20090322004) （20090322004）
